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A global optimization strategy based on Differential Evolution (DE) is proposed. The new optimization strategy divides the total population into two swarms, assimilative and evolutionary swarms. The different operations to generate offspring vector are implemented in different swarms. In each generation, the best member of evolutionary swarm will be exalted to join in the assimilative swarm to replace the worst performance member. For verifying the efficiency of the new optimization strategy, some Yagi-Uda antennas are optimized as examples. The results show that the new global optimizer is robust for multi-modal objective function optimization.

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In this paper, the method of moments is employed to analyze finite phased arrays of radiating slots fed by rectangular waveguides. Also, the relationships among magnetic currents, reflection coefficients, and coupling coefficients are analyzed numerically using basic matrix manipulations.Active patterns of elements in phased arrays, and their relationships with reflection coefficients and magnetic currents are discussed.Numerical results of reflection coefficients compared with existing measured and theoretical results and a fairly good agreement is obtained.